Open Access

ARTICLE

EIAS: An Efficient Identity-Based Aggregate Signature Scheme for WSNs Against Coalition Attack

by Yong Xie¹, Fang Xu², Xiang Li¹, Songsong Zhang¹, Xiaodan Zhang¹, Muhammad Israr³

1 Department of Computer Technology and Application, Qinghai University, Xining, China.
2 School of Computer and Information Science, Hubei Engineering University, Xiaogan, China.
3 Department of Computer Sciences, COMSATS University, Abbottabad, Pakistan.

* Corresponding Author: Xiaodan Zhang. Email: .

Computers, Materials & Continua 2019, 59(3), 903-924. https://doi.org/10.32604/cmc.2019.05309

Abstract

Wireless sensor networks (WSNs) are the major contributors to big data acquisition. The authenticity and integrity of the data are two most important basic requirements for various services based on big data. Data aggregation is a promising method to decrease operation cost for resource-constrained WSNs. However, the process of data acquisitions in WSNs are in open environments, data aggregation is vulnerable to more special security attacks with hiding feature and subjective fraudulence, such as coalition attack. Aimed to provide data authenticity and integrity protection for WSNs, an efficient and secure identity-based aggregate signature scheme (EIAS) is proposed in this paper. Rigorous security proof shows that our proposed scheme can be secure against all kinds of attacks. The performance comparisons shows EIAS has clear advantages in term of computation cost and communication cost when compared with similar data aggregation scheme for WSNs.

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Citations